消除噪声干扰的动态测量方法研究

The Dynamic Measurement Method with Elimination of Noise Disturbance

由于测量噪声和补偿器的频率特性，使得传感器的动态补偿器存在严重的噪声干扰，影响到补偿器的参数辨识和补偿后的测量精度。研究了一种消除噪声干扰的动态测量方法，先通过小波变换估计噪声的方差，再由估计得到的方差，通过偏差消除的递推最小二乘法，对补偿器的参数进行无偏辨识；同时，采用多项式实时滤波器，消除高频噪声对测量精度的影响。最后，通过实验验证了该方法的有效性。

Due to measurement noise and frequency response of compensator, the dynamic compensator of the sensor has severely noise disturbance. The parameter estimate of the compensator and measurement precision is effected by the noise. A new dynamic measurement method for eliminating noise disturbance is described. To implement this method, the noise variance was estimated by the wavelet transform, and then a recursive least-squares method with bias-elimination was applied to estimate the unbiased parameters of the compensator. At the same time, polynomial prediction filter was used to eliminate the effect of high frequency noise on measurement precision. Experimental results show that the approach is effective.